Hard clustering
Hard clustering is a type of clustering which consists in grouping the data items such that each item is only assigned to one cluster.[1]
Algorithms
Some hard clustering algorithms are:
- K-means: A famous hard clustering algorithm whereby the data items are clustered into K clusters such that each item only blogs to one cluster.[1]
References
- ↑ 1.0 1.1 Machine Learning Hard Vs Soft Clusteringmedium.com